1
00:00:00,000 --> 00:00:00,920


2
00:00:00,920 --> 00:00:04,290
ZAMYLA CHAN: Get ready, we're
moving on to the world wide web.

3
00:00:04,290 --> 00:00:07,750
In application.py we
allow a user to see,

4
00:00:07,750 --> 00:00:13,190
in a web page, a pie chart breaking
down a particular Twitter users

5
00:00:13,190 --> 00:00:16,340
positive, negative, and neutral tweets.

6
00:00:16,340 --> 00:00:17,990
So what do we have to do?

7
00:00:17,990 --> 00:00:21,530
Well, if we look into application.py
let's read through this

8
00:00:21,530 --> 00:00:24,800
and see how the workflow
for this problem goes.

9
00:00:24,800 --> 00:00:29,270
First we'll get the screen name from a
GET request, redirecting to the index

10
00:00:29,270 --> 00:00:30,750
if that's missing.

11
00:00:30,750 --> 00:00:32,689
Then we want to get
that particular screen

12
00:00:32,689 --> 00:00:38,090
names tweets, redirecting to index if
none but that's your job to implement.

13
00:00:38,090 --> 00:00:43,040
Once you've done that initialize
Analyzer as you learned in Analyzer.py

14
00:00:43,040 --> 00:00:45,440
and analyze those tweets.

15
00:00:45,440 --> 00:00:48,980
To analyze the tweets we'll want
to iterate over the tweets scoring

16
00:00:48,980 --> 00:00:52,520
all of the words in those
tweets, calculating whether they

17
00:00:52,520 --> 00:00:55,160
are positive, negative, or neutral.

18
00:00:55,160 --> 00:01:00,200
Now assuming that you've successfully
implemented analyzer.py and tweets,

19
00:01:00,200 --> 00:01:03,500
then the actual amount of code that
you'll be writing for this problem

20
00:01:03,500 --> 00:01:05,250
is minimal.

21
00:01:05,250 --> 00:01:07,880
The real takeaway from
this problem is to see

22
00:01:07,880 --> 00:01:12,350
how Python can interact with the web,
how we can render templates and pass

23
00:01:12,350 --> 00:01:13,880
in actual values.

24
00:01:13,880 --> 00:01:17,600
Because if we continue to
read on an application.py

25
00:01:17,600 --> 00:01:21,080
you'll see how application.py
generates the pie chart

26
00:01:21,080 --> 00:01:24,020
and then renders that pie
chart, showing the percentages

27
00:01:24,020 --> 00:01:29,120
of positive, negative, and neutral
tweets and displays that on a website.

28
00:01:29,120 --> 00:01:33,950
My name is Zamyla, and
this was application.py.

29
00:01:33,950 --> 00:01:36,338